#!/usr/bin/env python # -*- coding: utf-8 -*- """ Copyright © 2024, United States Government, as represented by the Administrator of the National Aeronautics and Space Administration. All rights reserved. The “"Fault Model Design tools - fmdtools version 2"” software is licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0. Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. """ from fmdtools.define.container.mode import Mode from fmdtools.define.block.function import Function from fmdtools.define.block.action import Action from fmdtools.define.architecture.action import ActionArchitecture from fmdtools.define.architecture.function import FunctionArchitecture from fmdtools.define.container.state import State from fmdtools.define.flow.base import Flow class OutcomeStates(State): """State tracking the number of actions and perceptions performed.""" num_perceptions: int = 0 num_actions: int = 0 class Outcome(Flow): container_s = OutcomeStates class HazardState(State): """Whether a hazard is present, percieved, or mitigated by the human.""" present: bool = False percieved: bool = False mitigated: bool = False class Hazard(Flow): container_s = HazardState class ActionMode(Mode): fault_failed = () fault_unable = () mode: str = 'nominal' exclusive = True class Perceive(Action): """A user's perception abilities/behaviors for percieving the hazard.""" container_m = ActionMode flow_hazard = Hazard flow_outcome = Outcome def dynamic_behavior(self): if not self.m.in_mode('failed', 'unable'): self.hazard.s.percieved = self.hazard.s.present self.outcome.s.num_perceptions += self.hazard.s.percieved else: self.hazard.s.percieved = False self.m.remove_fault('failed', 'nom') def percieved(self): return self.hazard.s.percieved class Act(Action): """User actions to mitigate the hazard.""" container_m = ActionMode flow_hazard = Hazard flow_outcome = Outcome def dynamic_behavior(self): if not self.m.in_mode('failed', 'unable'): self.outcome.s.num_actions += 1 self.hazard.s.mitigated = True elif self.m.in_mode('failed'): self.hazard.s.mitigated = False self.m.remove_fault('failed', 'nom') else: self.hazard.s.mitigated = False def acted(self): return not self.m.in_mode('failed') class Done(Action): """User state after performing the action.""" flow_hazard = Hazard def dynamic_behavior(self): if not self.hazard.s.present: self.hazard.s.mitigated = False def ready(self): return not self.hazard.s.present class Human(ActionArchitecture): """Overall human action sequence graph specifying what the user will do when.""" initial_action = "perceive" def init_architecture(self, *args, **kwargs): # flows from external fxn/model can be defined here, self.add_flow("hazard", Hazard) # along with flows internal to the ASG class self.add_flow("outcome", fclass=Outcome) self.add_act("perceive", Perceive, "outcome", "hazard") self.add_act("act", Act, "outcome", "hazard") self.add_act("done", Done, "hazard") self.add_cond("perceive", "act", "percieved", self.acts['perceive'].percieved) self.add_cond("act", "done", "acted", self.acts['act'].acted) self.add_cond("done", "perceive", "ready", self.acts['done'].ready) class DetectHazard(Function): """Function containing the human.""" container_m = Mode arch_aa = Human flow_hazard = Hazard class ProduceHazard(Function): """Function producing Hazards.""" flow_hazard = Hazard def dynamic_behavior(self): if not self.t.time % 4: self.hazard.s.present = True else: self.hazard.s.present = False class PassStates(State): """Whether or not the hazard is ultimately passed or mitigated.""" hazards_mitigated: int = 0 hazards_propagated: int = 0 class PassHazard(Function): """Accumulates total hazards/mitigations.""" container_s = PassStates flow_hazard = Hazard def dynamic_behavior(self): if self.hazard.s.present and self.hazard.s.mitigated: self.s.hazards_mitigated += 1 elif self.hazard.s.present and not self.hazard.s.mitigated: self.s.hazards_propagated += 1 class HazardModel(FunctionArchitecture): """Overall model of the human in context.""" default_sp = dict(end_time=60, dt=1.0) def init_architecture(self, **kwargs): self.add_flow("hazard", Hazard) self.add_fxn("produce_hazard", ProduceHazard, 'hazard') self.add_fxn("detect_hazard", DetectHazard, 'hazard') self.add_fxn("pass_hazard", PassHazard, 'hazard') if __name__ == '__main__': import fmdtools.sim.propagate as prop mdl = HazardModel() result_fault, mdlhist_fault = prop.one_fault(mdl, 'detect_hazard.aa.acts.act', 'unable', time=4, to_return='graph') result_fault.get_faulty().tend.graph.draw() ex_fxn = DetectHazard('detect_hazard') result_indiv, hist_indiv = prop.nominal(ex_fxn, disturbances={5:{'aa.flows.hazard.s.present':True}}) fig, axs = hist_indiv.plot_line('aa.flows.hazard.s.present', 'aa.flows.hazard.s.percieved', 'aa.flows.hazard.s.mitigated', figsize=(10,5)) result_fault, mdlhist_fault = prop.one_fault(mdl, 'detect_hazard.aa.acts.perceive', 'failed', time=4, to_return='graph.fxns.detect_hazard.aa') result_fault.get_faulty().tend.graph.fxns.detect_hazard.aa.draw_graphviz(layout='dot')